Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits. The above benefits can be achieved by optimal placement of DGs. A novel nature-inspired algorithm called Dragonfly algorithm is used to determine the optimal DG units size in this paper. It has been developed based on the peculiar behavior of dragonflies in nature. This algorithm mainly focused on the dragonflies how they look for food or away from enemies. The proposed algorithm is tested on IEEE 15, 33 and 69 test systems. The results obtained by the proposed algorithm are compared with other evolutionary algorithms. When compared with other algorithms the Dragonfly algorithm gives best results. Best results are obtained from type III DG unit operating at 0.9 pf.

中文翻译：

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利用蜻蜓算法优化配电网布置，以实现配电网效益最大化

分布式发电（DG）是小型发电站，在配电系统中与用户连接，以改善电压曲线，电压调节，稳定性，降低功率损耗并带来经济效益。通过优化DG的位置可以实现上述好处。本文采用一种新颖的，受自然启发的算法，即蜻蜓算法，来确定最佳的DG单位大小。它是根据蜻蜓在自然界中的特殊行为而开发的。该算法主要关注蜻蜓如何寻找食物或远离敌人。该算法在IEEE 15、33和69测试系统上进行了测试。将该算法获得的结果与其他进化算法进行比较。与其他算法相比，Dragonfly算法可提供最佳结果。